https://openlit.io/videos/foYnZK_ORDs https://i3.ytimg.com/vi/foYnZK_ORDs/hqdefault.jpg What is OpenTelemetry? LLM Observability with OpenLIT Explained What is OpenTelemetry, and how does OpenLIT use it for LLM observability? Docs: https://docs.openlit.io GitHub: https://github.com/openlit/openlit Site: https://openlit.io OTLP receiver docs: https://docs.openlit.io/latest/openlit/otlp-receiver OpenTelemetry (OTel) is the open, vendor-neutral CNCF standard for traces, metrics, and logs. It gives you one protocol (OTLP), language SDKs, and the OpenTelemetry Collector, so you can instrument once and send your telemetry anywhere. OpenLIT is built natively on OpenTelemetry. Add one line, openlit.init(), and it auto-instruments your LLMs, vector databases, AI agent frameworks, and GPUs. Every span follows the OpenTelemetry GenAI semantic conventions, so your LLM monitoring data works in OpenLIT or any OTel backend like Grafana or Jaeger. No vendor lock-in. The OpenLIT platform also includes a built-in OTLP receiver (gRPC 4317, HTTP 4318), so any OpenTelemetry source can send straight to it. Open source and self-hosted. Chapters: 0:00 What is OpenTelemetry 0:14 OpenLIT: one-line auto-instrumentation 0:27 Export anywhere + built-in OTLP receiver #OpenTelemetry #LLMObservability #OpenLIT #GenAI https://www.youtube.com/watch?v=foYnZK_ORDs https://www.youtube-nocookie.com/embed/foYnZK_ORDs?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-29T16:15:28.000Z yes no https://openlit.io/videos/mSOuJxW8cHs https://i2.ytimg.com/vi/mSOuJxW8cHs/hqdefault.jpg Optimizing AI Agents with OpenLIT | Cut Agent Cost in a Support-Desk Demo Learn how OpenLit helps improve AI agents, reduce costs, enhance security, and optimize tool calls through a complete support desk demo. https://www.youtube.com/watch?v=mSOuJxW8cHs https://www.youtube-nocookie.com/embed/mSOuJxW8cHs?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-18T04:08:02.000Z yes no https://openlit.io/videos/vFlbQ9x-BJI https://i3.ytimg.com/vi/vFlbQ9x-BJI/hqdefault.jpg OpenLIT Datasource Connectors: Tempo, Loki, Prometheus & Jaeger Connect ClickHouse, Grafana Tempo, Loki, Prometheus, and Jaeger to OpenLIT — then route traces, logs, and metrics per environment. OpenLIT datasource connectors let you keep telemetry in the backends you already run, while OpenLIT reads and correlates on top via OpenPlait adapters and per-signal routing. What you get • Atomic connectors for ClickHouse, Tempo, Loki, Prometheus (incl. PromQL-compatible APIs like Mimir), and Jaeger • Per-environment signal routing for traces, logs, and metrics • Connectors UI under Organisation → Project → Connectors • OpenTelemetry-native AI / LLM observability on top of your own stack Try it Docs (Connectors): https://docs.openlit.io/latest/openlit/organisation/connectors Signal routing: https://docs.openlit.io/latest/openlit/organisation/signal-routing Product: https://openlit.io GitHub: https://github.com/openlit/openlit Quickstart: https://docs.openlit.io/latest/openlit/quickstart-ai-observability Chapters 0:00 Your telemetry outgrew one store 0:03 Backends: ClickHouse, Tempo, Loki, Prometheus, Jaeger 0:08 Route each signal to the backend that owns it 0:15 Connectors UI 0:22 Add a source from the catalog 0:27 Try it out #OpenLIT #OpenTelemetry #Observability #GrafanaTempo #Loki #Prometheus #Jaeger #ClickHouse #LLMObservability #AIObservability https://www.youtube.com/watch?v=vFlbQ9x-BJI https://www.youtube-nocookie.com/embed/vFlbQ9x-BJI?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-08-28T03:55:27.000Z yes no https://openlit.io/shorts/SUa8KnHQ9MM https://i4.ytimg.com/vi/SUa8KnHQ9MM/hqdefault.jpg Your agent called 5 tools and said Done. Which one failed? #Shorts Your AI agent said "Done. The refund has been issued." It wasn't. The refund API was down, the tool swallowed the error and returned {}, and the agent told the customer it was done anyway. This is a real run: a LangGraph agent on a local Qwen 2.5 3B model (Ollama) with 5 tools. One line, openlit.init(), traced every LLM call, tool call and HTTP request into OpenLIT, so the empty tool result and the "Connection refused" error are right there in the trace. Star OpenLIT on GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Has your agent ever said "done" when it wasn't? Tell me what it skipped 👇 #Shorts #AIAgents #LangChain #OpenTelemetry #OpenLIT https://www.youtube.com/watch?v=SUa8KnHQ9MM https://www.youtube-nocookie.com/embed/SUa8KnHQ9MM?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-10-02T03:31:09.000Z yes no https://openlit.io/shorts/d3fSqWwXupk https://i1.ytimg.com/vi/d3fSqWwXupk/hqdefault.jpg What is OpenTelemetry? LLM Observability with OpenLIT #Shorts Instrument once. Send your telemetry anywhere. That is OpenTelemetry, and OpenLIT is built natively on it. Docs: https://docs.openlit.io OpenTelemetry is the open, vendor-neutral CNCF standard for traces, metrics, and logs. Add one line, openlit.init(), and OpenLIT auto-instruments your LLMs, vector databases, agent frameworks, and GPUs, following the OpenTelemetry GenAI semantic conventions. Send the data to OpenLIT or to any OpenTelemetry backend, like Grafana or Jaeger. No vendor lock-in. Open source and self-hosted. GitHub: https://github.com/openlit/openlit Site: https://openlit.io Watch the full video: https://www.youtube.com/watch?v=foYnZK_ORDs Code and span cards in the video are illustrative. Screenshots come from docs.openlit.io. #OpenTelemetry #LLMObservability #OpenLIT #OpenSource #Shorts https://www.youtube.com/watch?v=d3fSqWwXupk https://www.youtube-nocookie.com/embed/d3fSqWwXupk?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-29T18:49:06.000Z yes no https://openlit.io/shorts/anzveuLgB7E https://i2.ytimg.com/vi/anzveuLgB7E/hqdefault.jpg AI Agent Said "Done" but Did Nothing? How to Debug It #Shorts Traces docs: https://docs.openlit.io/latest/openlit/observability/telemetry/traces GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Your AI agent said "done." It did nothing. No error, no crash, and your logs say 200 OK. Agents fail silently: a wrong tool call, a loop, a lost context. To debug them, trace every step. Find the exact span where the run went wrong, then check tokens and cost. A loop shows up as a spike. OpenLIT traces LLM calls and agent/tool steps, and shows tokens and cost for each trace. It's open source, built on OpenTelemetry, and setup is one line: openlit.init(). What's the weirdest way your agent failed? Tell me in the comments 👇 #Shorts #AIAgents #OpenLIT #OpenTelemetry #LLMObservability #Debugging #AIEngineering #OpenSource https://www.youtube.com/watch?v=anzveuLgB7E https://www.youtube-nocookie.com/embed/anzveuLgB7E?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-25T22:38:08.000Z yes no https://openlit.io/shorts/7CGZmTTC3v4 https://i4.ytimg.com/vi/7CGZmTTC3v4/hqdefault.jpg Traces in Tempo, memory in Mem0? Connect it all to OpenLIT #Shorts Docs: https://docs.openlit.io/latest/openlit/connectors/overview GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Your traces, agent memory, and repos all live in different tools. OpenLIT Connectors plug into them from one place (Configuration → Connectors), scoped to your project and environment. • Data sources: keep ClickHouse, Grafana Tempo, Loki, Prometheus, or Jaeger, and route traces, logs, and metrics independently. • Memory: connect Claude, Mem0, or Zep to browse and search what your agents remember (capabilities vary by vendor). • Scanners: Trustabl scans GitHub repos for agent SDK, MCP, and policy findings. Which connector should we add next? Tell me in the comments. #Shorts #OpenLIT #OpenTelemetry #Observability #AIAgents #Mem0 #Grafana #MCP https://www.youtube.com/watch?v=7CGZmTTC3v4 https://www.youtube-nocookie.com/embed/7CGZmTTC3v4?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-25T16:40:31.000Z yes no https://openlit.io/shorts/psv5Ju5iwjI https://i1.ytimg.com/vi/psv5Ju5iwjI/hqdefault.jpg What did Claude Code just cost you? Trace Cursor & Codex too #Shorts Docs: https://docs.openlit.io/latest/openlit/coding-agents/overview GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Your coding agent just ran for 40 minutes. What did it actually do? OpenLIT traces Claude Code, Cursor, and Codex with one command (openlit coding install --vendor=all): no SDK, no code changes. Every session lands in the Coding Agents tab with tokens, cost, tool calls, code changed, acceptance %, commits, and pull requests. Self-hosted, built on OpenTelemetry. Which coding agent do you use? Tell me in the comments. #Shorts #ClaudeCode #Cursor #Codex #CodingAgents #OpenLIT #OpenTelemetry #AIAgents https://www.youtube.com/watch?v=psv5Ju5iwjI https://www.youtube-nocookie.com/embed/psv5Ju5iwjI?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-25T16:40:10.000Z yes no https://openlit.io/shorts/3kIfid-jwIA https://i4.ytimg.com/vi/3kIfid-jwIA/hqdefault.jpg Open-source LLM observability on OpenTelemetry | OpenLIT GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Tired of proprietary LLM telemetry? OpenLIT is open-source AI engineering for LLM observability, evals, prompts, and cost — built on OpenTelemetry. Self-host free under Apache 2.0. #Shorts #OpenLIT #LLMObservability #OpenTelemetry #OpenSource #AIObservability #DevTools #LLM https://www.youtube.com/watch?v=3kIfid-jwIA https://www.youtube-nocookie.com/embed/3kIfid-jwIA?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-22T19:10:44.000Z yes no https://openlit.io/shorts/uOsgEygvJqM https://i2.ytimg.com/vi/uOsgEygvJqM/hqdefault.jpg LLM API keys + GPU metrics in OpenLIT GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io API keys in env files, GPU metrics in another tool? OpenLIT Vault stores/rotates LLM keys; the GPU collector adds utilization, memory, temp, and power via OpenTelemetry. #Shorts #OpenLIT #Vault #GPUMonitoring #OpenTelemetry #LLMOps #OpenSource https://www.youtube.com/watch?v=uOsgEygvJqM https://www.youtube-nocookie.com/embed/uOsgEygvJqM?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-22T19:10:40.000Z yes no https://openlit.io/shorts/wfRcvVOhiW8 https://i4.ytimg.com/vi/wfRcvVOhiW8/hqdefault.jpg Monitor AI agents end to end | OpenLIT GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Your agent called five tools — which one failed? OpenLIT monitors AI agents with OpenTelemetry spans for every step, tool, and LLM call. #Shorts #OpenLIT #AIAgents #AgentObservability #OpenTelemetry #LLMOps #OpenSource https://www.youtube.com/watch?v=wfRcvVOhiW8 https://www.youtube-nocookie.com/embed/wfRcvVOhiW8?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-22T19:10:38.000Z yes no https://openlit.io/shorts/6dDEnDPbp14 https://i3.ytimg.com/vi/6dDEnDPbp14/hqdefault.jpg Compare LLMs side by side | OpenLIT OpenGround GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Picking a model from a blog benchmark? OpenGround compares LLMs on your prompts — latency, cost, and quality — before you ship. #Shorts #OpenLIT #ModelComparison #LLM #AIEngineering #OpenSource #DevTools https://www.youtube.com/watch?v=6dDEnDPbp14 https://www.youtube-nocookie.com/embed/6dDEnDPbp14?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-22T19:10:36.000Z yes no https://openlit.io/shorts/3fxqgg3HsjU https://i4.ytimg.com/vi/3fxqgg3HsjU/hqdefault.jpg Version prompts without shipping code | OpenLIT Prompt Hub GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Prompts still hardcoded in the repo? OpenLIT Prompt Hub versions and deploys prompts without a code deploy — linked to traces and evals. #Shorts #OpenLIT #PromptEngineering #PromptManagement #LLMOps #OpenSource #AIEngineering https://www.youtube.com/watch?v=3fxqgg3HsjU https://www.youtube-nocookie.com/embed/3fxqgg3HsjU?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-22T19:10:32.000Z yes no https://openlit.io/shorts/LYpnEUMH9b0 https://i1.ytimg.com/vi/LYpnEUMH9b0/hqdefault.jpg LLM-as-a-judge on live traces | OpenLIT GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Shipped a prompt change and quality dropped? OpenLIT runs LLM evaluation on the same production traces — online scoring and CI. #Shorts #OpenLIT #LLMEvaluation #LLMasaJudge #AIQuality #OpenSource #DevTools https://www.youtube.com/watch?v=LYpnEUMH9b0 https://www.youtube-nocookie.com/embed/LYpnEUMH9b0?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-22T19:10:30.000Z yes no https://openlit.io/shorts/ZnL3WiyH5oo https://i3.ytimg.com/vi/ZnL3WiyH5oo/hqdefault.jpg Trace LLMs with OpenTelemetry in 1 line | OpenLIT GitHub: https://github.com/openlit/openlit Docs: https://docs.openlit.io Site: https://openlit.io Still guessing which LLM call burned your budget? OpenLIT adds OpenTelemetry LLM tracing with pip install openlit + openlit.init() — cost, latency, tokens, tools. #Shorts #OpenLIT #OpenTelemetry #LLMObservability #AIObservability #OpenSource #DevTools #LLM https://www.youtube.com/watch?v=ZnL3WiyH5oo https://www.youtube-nocookie.com/embed/ZnL3WiyH5oo?modestbranding=1&rel=0&playsinline=1&enablejsapi=1 2026-09-22T19:10:26.000Z yes no